http://onlinelibrary.wiley.com/doi/10.1111/acel.12218/full 文章阅读： A novel kinase regulates dietary restriction-mediated longevity in Caenorhabditis elegans Article first published online: 21 MAR 2014 AGING CELL DOI: 10.1111/acel.12218 Highlights： 1,RNAi knockdown of mekk-2 initiates a DR-like status,triggering a metabolic and physiological reprogramming which leads to healthy lifespan extension. 2,Metabolic shift to beta-oxidation,instead of RNAi treatment, is repsonsbile for increased xenobiotic detoxification in lipid oxidation. 3,Lifespan extension by mekk-2 RNAi is independent of DAF-16,but requires PHA-4 and partially depends on the activity of SKN-1. 4,MEKK-2 regulates lifespan in a tissue nonautonomous manner, in which hypodermis and muscle, instead of intestine-where most of aging genes functions plays an important role. 5,MEKK-2 functions as a negative regulator in aging process and may constitute a sensory module for nutrient sensing pathway, like AMPK.
转载自我在blogspot.com上的博文： http://marchonscience.blogspot.com/2013/04/compressed-sensing-of-eeg-using-dwt-as.html Since my paper Compressed Sensing of EEG for Wireless Telemonitoring with Low Energy Consumption and Inexpensive Hardware (IEEE T-BME, vol.60, no.1, 2013) has been published, lots of people asked me how to do the compressed sensing of EEG using wavelets. Their problem was that Matlab has no function to generate the DWT basis matrix (i.e. the matrix D in my paper). One has to generate such matrices using other wavelet toolboxes. Now I updated my codes, where I gave a guide to generate such dictionary matrices using the wavelab ( http://www-stat.stanford.edu/ ~wavelab/ ) , and there is a demo to show how to use a DWT basis matrix as the dictionary matrix for compressed sensing of EEG ( demo_useDWT.m ) . The codes can be downloaded at here . 如果上面的代码连接不对（可能需要“翻墙”），可来email向我索要。
Progresses on microwave remote sensing of land surface parameters Abstract: Highly accurate observations at various scales on the land surface are urgently needed for the studies of many areas, such as hydrology, meteorology, and agriculture. With the rapid development of remote sensing techniques, remote sensing has had the capacity of monitoring many factors of the Earth’s land surface. Especially, the space-borne microwave remote sensing systems have been widely used in the quantitative monitoring of global snow, soil moisture, and vegetation parameters with their all-weather, all-time observation capabilities and their sensitivities to the characteristics of land surface factors. Based on the electromagnetic theories and microwave radiative transfer equations, researchers have achieved great successes in the microwave remote sensing studies for different sensors in recent years. This article has systematically reviewed the progresses on five research areas including microwave theoretical modeling, microwave inversion on soil moisture, snow, vegetation and land surface temperatures. Through the further enrichment of remote sensing datasets and the development of remote sensing theories and inversion techniques, remote sensing including microwave remote sensing will play a more important role in the studies and applications of the Earth systems. microwave remote sensing, soil moisture, vegetation, snow water equivalent, land surface temperature SHI JianCheng, DU Yang, DU JinYang, JIANG LingMei, CHAI LinNa, MAO KeBiao, XU Peng, NI WenJian, XIONG Chuan, LIU Qiang, LIU ChenZhou, GUO Peng, CUI Qian, LI YunQing, CHEN Jing, WANG AnQi, LUO HeJia, WANG YinHui, Progresses on microwave remote sensing of land surface parameters, SCIENCE CHINA Earth Sciences, 2012 Vol. 55 (7): 1052-1078. PDF.pdf
Multi-Manifold Signal Recovery Posted on February 26, 2012 by richb C. Hegde and R. G. Baraniuk, “ Signal Recovery on Incoherent Manifolds ,” preprint, February 2012. Abstract: Suppose that we observe noisy linear measurements of an unknown signal that can be modeled as the sum of two component signals, each of which arises from a nonlinear sub-manifold of a high-dimensional ambient space. We introduce Successive Projections onto INcoherent manifolds (SPIN), a first-order projected gradient method to recover the signal components. Despite the nonconvex nature of the recovery problem and the possibility of underdetermined measurements, SPIN provably recovers the signal components, provided that the signal manifolds are incoherent and that the measurement operator satisfies a certain restricted isometry property. SPIN significantly extends the scope of current recovery models and algorithms for low-dimensional linear inverse problems and matches (or exceeds) the current state-of-the-art in terms of performance. The above example illustrates SPIN recovery of two manifold-modeled components from compressive measurements of a noisy N =64×64 image. The clean image consists of the linear superposition of a disk and square of fixed sizes but unknown locations. Additive Gaussian noise (SNR = 14dB) has been added to the image prior to taking M =50 compressive measurement ( M/N = 1.2%). (a) Original noisy image. (b) Reconstructed disk. (c) Reconstructed square. The extension to more than two manifolds is straightforward. good job!
原文：不好意思，没有找到原文作者的博客 压缩传感不是万能的， 虽然它是信号和图像处理领域最热门的研究对象 但是它不可能解决所有问题 就像中科院李老师的话： “压缩感知根植于数学理论，它给目前国内浮躁的学术环境提了一个警钟！因为只有很好地钻研它的基本理论和方法，才能将其有效地应用在所关心的问题中；否则它只能是一剂春药，一种无法名状的春药！” ------------------------------------------------------------------------------------------ 人们习惯于用正交基来表示信号，直到最近几十年，人们才发现用冗余的基元素集合来表示信号能够取得更好的结果，当然我们追求的肯定是用最小数量的基元素来最优的表示信号，这就出现了信号的稀疏表示。 L1范数最小化最早并不是Donoho提出的，早在80年代，Fadil Santosa 和William Symes就曾提出了L1范数的最小化，而Donoho提出Compressed sensing 并不是换汤不换药，CS并不是解决信号在一个完备集里面的最优表示问题的，而是提出了一种新的信号采集或者测量方式，这种新的测量方式打破了Shannon-Nyquist定理在信号处理领域一手遮天的局面，已经提出，就引起了相关领域大批学者的关注。Shannon-Nyquist采样定理要求在信号的采集阶段以高于信号带宽的两倍采样率来获取信号，信号才能得到完美的重构，而CS则对信号的带宽不再作要求，取而代之的是稀疏性，满足条件的信号则可在远少于SN采样率的情况下精确的重构信号。 从数学上来说，CS是在一定的条件下求解欠定(不适定)方程，条件包括x要是稀疏的，测量矩阵要满足RIP条件，那么欠定(不适定)方程就会以很大的概率有唯一解。 ------------------------------------------------------------------------------------------- 《Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information》 1.文章告诉我们压缩传感在图像领域的发展源于作者在医学图像领域--MR图像重构得到的惊人结果，接着提出了压缩传感的数学模型，即当一信号在时域具有稀疏性的前提下，对频域进行少量样本的随机抽样，就可以对信号进行重构，作者事实上是从一个特例开始讨论的，即B1是简单的抽样基，B2是傅里叶基，到了文章的结尾，才对这一事实进行扩展，而且上来就是全变分模型，而不是抽象的L1范数最小化。 2.接着作者提出了两个问题：哪一类的信号才可以得到完美的重构，以及，重构时对采样数目的要求到底是什么，作者用定理1.3回答了以上问题，具有T稀疏性的信号，如果采样数满足。。。要求，那么信号可以得到重构，并且可以证明，重构是唯一的而且是最优的。最优性指的是，没有其他的算法可以用更少的采样数目得到这样的结果。 3.作者阐述了压缩传感与测不准原理的关系，并且提出了新的更强的准则。 4。压缩传感与相关研究的联系：利用L1范数最小化来恢复稀疏信号并不是压缩传感的新创，由来已久，其外，压缩传感与信号的稀疏分解具有很深的渊源，从某种意义上说，他们是相同的，当然他们具有本质上的不同：压缩传感是从不完整的数据中恢复信号，而稀疏分解是找到信号的最稀疏最有效的表达，最后作者从信号采样的角度告诉我们文章的最大贡献是提出了一种新的信号采样方式：数目更少，随机性。 5.文章花了大部分的篇幅来证明解的唯一性，在最后，给出了算法的稳定性，鲁棒性，以及算法的扩展，信号具有T稀疏，且采样数目满足定理要求，算法是稳定的，鲁棒性在相关的文章讨论，扩展指的是信号可以在更多的基里面具有稀疏性，不局限于时域和频域，且采样矩阵也可以有更加多样的选择。 ------------------------------------------------------------------------------------------- 1-On theory of compressive sensing via ell1 minimization Simple derivations and extensions 作者信息：Rice,Yin Zhang:http://www.caam.rice.edu/~zhang/ 该文首先指出目前的CS理论有两大部分构成：recoverability和stability,recoverability指的是，什么样的采样矩阵和恢复算法能够重构k稀疏信号，而stability指的是当出现信号的近似k稀疏或者出现观测噪声时，算法的鲁棒性。本文的主要的contributions包括：1）提出了一种全新的non-RIP的分析框架；2）与RIP类算法相比，该算法能够将任意形式的先验信息融合到CS理论中；3）文章还验证了随机矩阵本质上是一致的。 2-Instance-optimality in probability with an ell1 decoder 作者信息：Department of Mathematics University of South Carolina ronald devore： http://www.math.sc.edu/~devore/ 该文…… 3-Incoherent dictionaries and the statistical restricted isometry property 作者信息:Tel-Aviv University Shamgar Gurevich: http://math.berkeley.edu/~shamgar/ 这个大牛的文章太深奥，纯的数学 4-On verifiable sufficient conditions for sparse signal recovery via ell-1 minimization 作者信息：未找到 文章直接指出现有的RIP或者其他的包括Restricted Eigenvalue assumption 和Restricted Correlation assumption都不能立即判定一个矩阵是否能适合L1范数最小化来精确重构信号，因为这些指标都是不可计算的都属于NP问题，而唯一的可计算的指标：Mutual Incoherence又过于保守。该文提出了一种新的量化指标来定量描述给定的矩阵是否足够好来适合L1范数最小化来重构信号。 5-The secrecy of compressed sensing measurements 作者信息：Draper Laboratory，Yaron rachlin： http://yaron.rachlin.googlepages.com/ 该文讨论了CS理论在密码学中应用的可行性，作者主要集中在L1范数最小化算法且无噪声的情况，结论是利用CS并不能得到完美的密码，但是作者阐释了一种称为computational notion of secrey,并说明了CS的measurment可以考虑作为密码。 6-Toeplitz compressed sensing matrices with applications to sparse channel estimation 作者信息：Rice University，Javis Haupt： http://www.ece.rice.edu/~jdh6/ 该文前边部分对CS做了很好的综述，包括介绍CS的几种情况：最简单的CS，近似稀疏信号的CS重构，含Gaussian观测噪声的CS恢复算法，含有限噪声的CS恢复算法。特别是最后两种的区别，文章给了很好的解释和说明，包括相应的算法的各自特点。 7-On recovery of sparse signals via ell1 minimization 作者信息：The Wharton School University of Pennsylvania t.tony cai： http://www-stat.wharton.upenn.edu/~tcai/ 这篇文章是对candes及Donoho的方法的改进，作者将问题进行了不同的分类，包括无噪声，有限噪声及高斯噪声三种情况，然后讨论了两种重构模型：DantZig Selector和L1 minimation with L2 constraints,主要的改进之一是提出了更弱的条件，使得可以重构的信号范围进一步扩大。通常我们用RIP性质，或者MIP性质来验证矩阵是否能用来作为一个采样矩阵，文章对这两个条件进行了讨论，并分析了他们之间的关系。作者只是将一个更弱的条件用到这三种情况下，不过作者主页上还是可以看到，09年作者做了相当多的工作。 8-Deterministic designs with deterministic guarantees Toeplitz compressed sensing matrices sequence design and system identification 作者信息：Boston University Department of Electrical and Computer Engineering venkatesh saligrama： http://iss.bu.edu/srv/ 该文应该属于CS在无线通讯领域的应用，以前的满足RIP性质的采样矩阵一般都是满足特定分布的随机矩阵，最近才逐渐出现确定元素构成的采样矩阵，本文作者根据该领域的特殊要求，构造了特别的采样矩阵，并证明了其满足RIP性质。 9-Compressive sensing by random convolution 作者信息：Georgia Tech，Justin Romberg： http://users.ece.gatech.edu/justin/Justin_Romberg.html 该文提出了一种全新的CS框架：先与随机的波形元素进行卷积，然后在时域内进行降采样，从而得到观测值。作者在文章中说明了这种方法是一种通用有效的稀疏数据观测方式，并用radar和Fourier optics两种应用情景来说明这种观测方式能够让我们得到分辨率更高的结果，但是这个框架的通用性还是值得进一步的探究。个人认为作者对信号的稀疏性解释的非常详细，并且分别将稀疏度与带宽对应，采样需求数目与采样频率对应。作者对以前的随机采样矩阵进行了分类：每个元素服从于某种分布；随机从某正交基中抽取m行作为采样矩阵，并从通用性和计算量上对两种矩阵进行了对比。作者还提出了三个考量采样系统的指标：通用性，计算量，以及物理可实现性。 10-Compressed sensing over the Grassmann manifold A unified analytical framework 作者信息：Caltch，Weiyu Xu： http://mathbaby.spaces.live.com/ 该文指出，满足RIP的采样矩阵能够恢复出稀疏信号，只是一个充分条件，作者基于高维几何，提出了更加紧的充要条件，而算法的目标也很明确：近似稀疏信号（作者给出了很特别的定义：基于L1范数）； 11-Combining geometry and combinatorics A unified approach to sparse signal recovery 作者信息：MIT，Radu Berinde： http://people.csail.mit.edu/radu/ 该文对采样矩阵和恢复算法进行了分类：基于组合的方法和基于几何的方法，并且相应的算法有相应的采样矩阵与其相对应，组合的方法通常对应于稀疏的二值矩阵，而几何的方法主要是指常用的l1范数最小化等，对应的矩阵为稠密的随机高斯随机贝努力矩阵。文章从整体的观点出发，认为两种方法在某种意义下是相同的，并提出了新的采样矩阵和恢复算法。 12-High-dimensional subset recovery in noise Sparsified measurements without loss of statistical efficiency 作者信息:UC Berkeley,Dapo Omidiran: http://www.eecs.berkeley.edu/~dapo/ 该文同上篇文章一样，也是研究了基于稀疏采样矩阵的Losso算法，同时考虑采样矩阵的稀疏和观测样本的噪声，并证明了当采样矩阵的稀疏度趋于0的情况下所需要的采样数目与稠密的采样矩阵需要的相同。 13-Efficient compressed sensing using high quality expander graphs 作者信息：Princeton，sina Jafarpour： http://sina2jp.googlepages.com/sinajafarpour%27shomepage 该文起源于Coding Theory，用于error correcting,其中比较经典的error correcting codes是LDPC（Low Density Parity Codes）,随后被xu weiyu（加州理工）用于CS领域，这篇文章是对Xu的理论的改进。 常用的RIP性质被用来检验一个随机矩阵是否能够用来作为采样矩阵，从而使得L1范数最小化算法能够对稀疏信号进行完美的重构，满足RIP性质的矩阵可以作为采样矩阵（充分条件），而Radu（见本页第一篇文章）提出了一种新的RIP，called RIP-1，标准的RIP（也称:RIP-2）保持了两稀疏信号的欧氏距离即Norm2，而RIP-1，则保持了稀疏信号的Manhattan距离，即Norm1，作者在文中说明了，只要矩阵满足RIP-1，也能保证将稀疏信号完美重构。 14-On some deterministic dictionaries supporting sparsity 作者信息：（特拉维夫，以色列港市）Shamgar Gurevich： http://math.berkeley.edu/~shamgar/ 作者系数学出身，这篇文章从语言到内容涉及到太多的数学内容，可略过。 15-A remark on compressed sensing 中提到：关于采样矩阵需要满足的条件，首先是由D.Donoho在文Compressive Sensing中提出的CS1-CS3条件，接着E.Candes,J.Romberg,T.Tao也独立的证明了矩阵需要满足的条件，进一步的研究，由A.Cohen,W.Dahmen,R.Devore(Compressed Sensing and k-term approximation)中完成，而这篇文章主要的工作就是证明了在渐进的情况下，即当m,n趋于无穷大的情况下，以上三个条件是一致的。 16-Toeplitz structured compressed sensing matrices： 又是一篇关于采样矩阵的文章，这篇文章提出了一种新的构造采样矩阵的方法，Toeplitz Matrix,并且证明了改矩阵满足Cades提出的RIP性质，列出了与通常的随机采样矩阵相比的优缺点，以及该采样矩阵在系统辨识中的应用。 17-Efficient compressive sensing with determinstic guarantees using expander graphs 这篇文章很好，一个原因是它将07年之前的关于压缩CS的文章进行了很好的总结，综述内容很丰富，此外是该文提出了一种新的框架，一种基于bipartite expander graphs的方法，利用图论来解决CS的问题，最终回答了作者提出的两个CS存在的问题：1.对于O（n），及k=O（n）的情况，目前的CS理论是否能够精确重构，2.如果能的话，信号满足稀疏性的前提下，这样的矩阵及重构算法是否存在？ 18-Computation and relaxation of conditions for equivalence between ell1 and ell0 minimization 这篇文章证明了在什么情况下，l0和l1的解是相同的，而且对信号的稀疏性有什么要求。 19-Fast compressive sampling with structurally random matrices 该文首先分析了已有的采样矩阵所具有的四个重要特征，并指出目前的采样矩阵一般只具备其中部分特征，之后具体分析的现在流行的两类采样矩阵的优缺点，包括第一类：随机高斯，随机贝努力，及亚高斯阵，第二类：部分傅里叶阵以及部分正交阵。在分析的基础上提出了一个hybrid采样矩阵，证明了该采样矩阵能够同时具有上述四个特点。 20-Sparse recovery using sparse random matrices 作者来自MIT,http://people.csail.mit.edu/radu/,主要研究方向也就是CS，文章的综述不错，总结的很详细，实验也很不错，文章主要是对稀疏的采样矩阵与通常的随机采样矩阵的对比，及其优势，并通过丰富的实验对几种常用的采样矩阵进行了比较。 21-A negative result concerning explicit matrices with the restricted isometry property 正如题目所示：文章指出通常的0，1采样矩阵需要额外的条件才能满足最优性，并且给出了更加紧的满足RIP条件的结果。 22-Toeplitz block matrices in compressed sensing 同样是讨论采样矩阵文章。
JCR为广大科学研究工作者所熟悉。 JCR（Journal Citation Reports），中文译为《期刊引用报告》，由美国ISI每年出版1期。 本短文从作者的专业角度对JCR报告中有关RS的学科分类与收录期刊做一简单小结。 JCR报告中按学科分类对于自然科学进行了评细的划分，具体分为多少类，没有细数。 值得高兴的是在这一分类中 Remote Sensing 的大名赫然在列！ 根据JCR报告中2011版Scope Notes所分类别中对于Remote Scensing的分类定义原文为： Category Name: Remote Sensing Category Description: Remote Sensing includes resources on the technique of remote observation and of obtaining reliable information about physical objects and the environment through the process of recording, measuring, and interpreting photographic images and patterns of electromagnetic radiation from space. This category also covers resources on the applications of remote sensing in environmental, atmospheric, meteorological, geographic, and geoscientific observations. Resources on geographic information systems that deal in large part with remote sensing are also included. 简单翻译： 类别名称： 遥感 类别描述： “遥感”分类包括通过记录、测量和解译空中得到的摄影图像以及电磁辐射模式的过程，远距离观测和获取有关自然对象（物体）和环境方面可靠信息的技术方法。这一分类也包含遥感在环境、大气、气象、地理和地球科学观测方面的应用方法。同时地理信息系统协同遥感进行大范围（数据/对象）处理的方法也包含在内。 按照这一学科分类标准，最新的JCR2010版报告中，RS类别共包含有23种期刊，按IF从高到低依次如下： 其中位列第一的REMOTE SENS ENVIRON 环境遥感（Remoet Sensing of Environment）遥遥领先，近5年IF分别为： 2006：3.064 2007：3.013 2008：3.943 2009：3.612 2010：3.954 RSE由美国Elsevier Scinece Inc.出版，语言为英语，目前为每年出版12期（2005-2010年分别发表论文231，218，252，330，240，244篇，约每期20篇）。 同时该期刊还隶属于Environmental Sciences（环境科学）、Imaging Science Photographic Technology（图像科学与摄影技术）两大类别。 而且按IF划分来看，RSE不仅在RS类23种期刊中位列第1，Q1级别，同时在ES类193种期刊中位列第16，Q1级别，在ISPT类19种期刊中位列第2，Q1级别。 期刊水平一目了然！
师弟王延博士来组讨论，谈及Wen-Xu Wang等新近之作。 PRL 106, 154101 (2011) Predicting Catastrophes in Nonlinear Dynamical Systems by Compressive Sensing Abstract:An extremely challenging problem of significant interest is to predict catastrophes in advance of their occurrences. We present a general approach to predicting catastrophes in nonlinear dynamical systems under the assumption that the system equations are completely unknown and only time series reflecting the evolution of the dynamical variables of the system are available. Our idea is to expand the vector field or map of the underlying system into a suitable function series and then to use the compressive-sensing technique to accurately estimate the various terms in the expansion. Examples using paradigmatic chaotic systems are provided to demonstrate our idea. 另一篇文章：EPL, 94 (2011) 48006 Time-series–based prediction of complex oscillator networks via compressive sensing Abstract – Complex dynamical networks consisting of a large number of interacting units are ubiquitous in nature and society. There are situations where the interactions in a network of interest are unknown and one wishes to reconstruct the full topology of the network through measured time series. We present a general method based on compressive sensing. In particular, by using power series expansions to arbitrary order, we demonstrate that the network-reconstruction problem can be casted into the form X=G· a, where the vector X and matrix G are determined by the time series and a is a sparse vector to be estimated that contains all nonzero power series coefficients in the mathematical functions of all existing couplings among the nodes. Since a is sparse, it can be solved by the standard L1-norm technique in compressive sensing. The main advantages of our approach include sparse data requirement and broad applicability to a variety of complex networked dynamical systems, and these are illustrated by concrete examples of model and real-world complex networks. 除了其核心部分，其他粗粗地看了一下，有如下感觉： 1.作者善为文； 2.问遍身边网上的朋友也不知道compressive sensing如何翻译成中文，但关于这个方法的应用和原理的文章很多可见 http://dsp.rice.edu/cs ； 3.问题：如果有一个网络，并非全部结点的时间序列都知道，那么对于已知的结点和时序，用所给出的方法的准确性会有怎么样的变化。如果将“遗漏”信息作为“噪声”，可想而知的是“Our method is robust against noise, due to the optimization nature of the compressive-sensing method.”但从抗噪声的工作来看，一般都是弱噪声才成。所以“遗漏”不能太多。 4. 在非线性化学实验中，如果将关心的反应物或中间产物的时间序列测量得到，那么相应的化学反应速率常数完全可以用这种方法给出。不知道以前组内师弟(妹)们是如何估计这些常数的。 5. 多讨论才能知道更多的相关信息。
North America Advanced Resources International, Inc. provides satellite image processing, analysis, and digital cartography for geologic resources exploration and environmental assessment. Arlington, VA, USA Aerial Images, Inc. - Raleigh, North Carolina, USA Agricultural Management Systems Inc. - Managing crop production through remote sensing technology. Oklahoma City, Oklahoma, USA Agriculture and Agri-Food Canada - Soils and Crops Research and Development Centre Airborne Data Systems, Inc. manufactures airborne multispectral systems. - Wabasso, MN, USA Airborne Sensing Corporation produces aerial photographic survey, photo finishing and digital image processing products. - Toronto, Ontario, Canada University of Alaska Fairbanks - Remote Sensing Group Alaska SAR Facility Homepage University of Alberta - Remote Sensing Applications at Water Resources Engineering The Alliance for Marine Remote Sensing (AMRS) is an international not-for-profit association dedicated to promoting aquatic remote sensing applications. - Halifax, Nova Scotia, Canada Analytical Imaging and Geophysics (AIG) is a value-added analytical Earth remote sensing company offering contract research, image processing, and field verification. - Boulder, Colorado Analytical Spectral Devices, Inc. - field portable spectroradiometers. - Boulder, Colorado Applied Analysis Inc. - Their products help exploit multispectral and hyperspectral data. - MA, USA Applied Signal and Image Technology, Inc. (ASIT) provides high-performance hyperspectral processing software to government and industry in the US. - Millersville, MD, USA University of Arizona - The Remote Sensing Group at the Optical Sciences Center, Tucson Array Systems Computing Inc. is a Canadian-based company specializing in providing its customers with complete turn-key, image- and signal-processing applications. - North York, Ontario, Canada Atlantis Scientific Systems Group Inc. - Ottawa, Ontario, Canada Autometric, Inc. - Alexandria, Virginia Bercha Group is a service and consulting engineering organization specializing in Risk Analysis, Engineering, and Surveillance. - Calgary, Alberta, Canada Bio-Geo-Recon specializes in commercial applications of Remote Sensing and GIS - CA, USA Borstad Associates Ltd. offers remote sensing services to the environment and mining sectors using satellite and hyperspectral airborne sensors. - Sidney, British Columbia, Canada Boston University - Center for Remote Sensing Brigham Young University - Microwave Earth Remote Sensing Research Group (MERS) University of California California Space Institute Institute for Computational Earth System Science (ICESS) University of California, Berkeley - Center for the Assessment and Monitoring of Forest and Environmental Resources (CAMFER) University of California, Davis - Center for Spatial Technologies And Remote Sensing (Dr. Susan Ustin's Remote Sensing Group) University of California, Santa Barbara - The Remote Sensing Research Unit (RSRU) is part of the Department of Geography The Canadian Space Guide - The Internet Conveyor Ltd. CARTEL - Centre d'applications et de recherches en tldtection, Universit de Sherbrooke, Qubec, Canada (in French) Cary and Associates provides marketing services in remote sensing, photogrammetry, GIS, GPS and surveying - Longmont, Colorado, USA CCRS Cover Page - Canada Centre for Remote Sensing Center for Earth and Planetary Studies (CEPS) at the National Air and Space Museum of the Smithsonian Institution Centre for Research in Earth and Space Technology (CRESTech) delivers research excellence to Canada's environment, resource management, and space sectors. CIRA - Cooperative Institute for Research in the Atmosphere, Department of Atmospheric Science at Colorado State University University of Colorado at Boulder Center for the Study of Earth From Space at CIRES (The Cooperative Institute for Research in Environmental Sciences) Remote Sensing of the Environment at CIRES (The Cooperative Institute for Research in Environmental Sciences) Aerial Photography and Remote Sensing by Shannon Crum, The Geographer's Craft Project, Department of Geography, The University of Colorado at Boulder Core Software Technology - Developer and a provider of ImageNet Cornell University - CIRIS - Cornell Institute for Resource Information Systems Corvallis Forestry Sciences Laboratory - Laboratory for Applications of Remote Sensing in Ecology CRSSA Grant F. Walton Center for Remote Sensing and Spatial Analysis (CRSSA)- Rutgers University in New Brunswick, New Jersey. University of Delaware - Center for Remote Sensing Home Page at the Graduate College of Marine Studies Dendron Resource Surveys Inc. is a technical support group that specializes in the application of geomatics technologies (including remote sensing, GIS, and GPS) to resource management - Ottawa, Canada Digital Environmental Management Inc. is a private company providing environmental related services - Canada DigitalGlobeTM is building a constellation of high-resolution earth imaging satellites and a comprehensive geo-information product store - Colorado Earth Resource Mapping - ER Mapper home page Earth Satellite Corporation (EarthSat) is a geo-information company using GIS and remote sensing data - Rockville, MD Earth Search Sciences, Inc. - Idaho Earthpace identifies new opportunities for satellite remote sensing data and geographic information systems (GIS) - Washington, DC. ENVI Home Page - The Environment for Visualizing Images, the software package for analyzing all types of remote sensing data RSI ENVI Home Page - Research Systems, Inc. - Boulder, Colorado EPOMEX - Program of Ecology, Fisheries and Oceanography of the Gulf of Mexico, Laboratorio de Percepcion Remota y SIG, Universidad Autonoma de Campeche, Mexico ERDAS?, Inc. - The ERDAS IMAGINE software line offers total ImagingGIS solutions on UNIX-based workstations as well as on PCs ERIM - The Environmental Research Institute of Michigan ERSi Earth Resource Surveys Inc. specializes in providing Remote Sensing and GIS products and services for Mineral Exploration, Natural Resource, Engineering and Environmental Applications - Canada Flight Landata, Inc. specializes in the development and worldwide use of advanced high-resolution digital remote sensing technologies - MA, USA University of Florida - GIS, GPS and Remote Sensing Laboratory at School of Forest Resources and Conservation Geoanalytic, Inc. provides Remote Sensing and GIS consulting services and is a distributor for ER Mapper, SPOT Image Corp. and Space Imaging EOSAT - Calgary, Alberta, Canada GeoData Systems Management Inc., is a high-technology firm specializing in technical systems integration, support, and management. Berea, OH, USA GeoMetrics, Inc. is an engineering and GIS resource consulting practice which specializes in the geoengineering and geoscience disciplines. Columbia, SC, USA. Geophysical Environmental Research Corp. (GER) provides standard or customized spectral imaging systems - NY, USA MDA Geospatial Services (formerly RADARSAT International) provides Earth observation data, information products and services from the majority of commercially available radar and optical satellites. Global GeoScience - GIS and Remote Sensing Consultants Global Imaging Inc. offers complete site preparation, system integration and installation, user training, system management training and software support programs - CA, USA GPA, Inc. - Specialists in image processing, remote sensing, GIS and 3D animation - Montral, Qubec, Canada University of Guelph - Integrated Image and Geographic Analysis Center utilizes high end computing power, along with REMOTE SENSING, GIS and GPS techniques to aid in agricultural monitoring and management University of Hawaii - School of Ocean Earth Science Technology (SOEST) Hegyi Geomatics International Inc. (Hegyi Geomatics) is an Ottawa based technology company that provides professional services and products to meet the needs of a niche market within the larger field of geomatics. Canada IAVO Research and Scientific is a professional geoservices company with emphasis on photogrammetric sciences, remote sensing, and geographic/geospatial information systems - Durham, North Carolina The IDRISI Project within the Graduate School of Geography at Clark University I.E.S. Imagery Exploitation Services Inc. - Visual Imagery Interpretation Data Analysis Specialists - Carleton Place, Ontario, Canada IMAGE Centre - Image Mapping and Geomatics Education (IMAGE) Centre - Ontario, Canada ImageLinks, Inc. is a high-volume, commercial processor of geometrically corrected satellite and aerial imagery - Melbourne, FL ImStrat Corporation provides consultation in remote sensing data implementation, management, imagery intelligence analysis, and data extraction - Ontario, Canada i3 - information integration imaging, LLC - Satellite imagery, digital ortho-photographic products, image enhancement services, and application expertise Informatics International, Inc. is a world-wide corporation dedicated to providing services in the integrated technologies of Geoinformatics - North Carolina, USA Institute for Technology Development (ITD) conducts applied research and converts the results into marketable products or services. The primary technology product of the company is multispectral and hyperspectral imaging systems. - NASA's John C. Stennis Space Center in Mississippi. Integrated Geoscience, Inc. is an earth science consulting company that specializes in applications of Geographic Information Systems technology for environmental and natural resource project management. - Helena, MT, USA Intergraph International Online IOSAT Inc. is a remote sensing company focused on providing technical solutions for use in time critical applications of high resolution satellite imagery. - Halifax, Nova Scotia, Canada ITRES Research Limited manufactures, sells and supports airborne hyperspectral imaging system solutions. - Calgary, Alberta, Canada The Johns Hopkins University, Space Science Engineering at Applied Physics Laboratory Ocean Remote Sensing Group - University of Kansas Radar Systems Remote Sensing Laboratory (RSL) Kansas Applied Remote Sensing (KARS Program) Kestrel Corporation is a research and development company specializing in low-cost multispectral and hyperspectral imaging systems and software for airborne remote sensing. - Albuquerque, NM Landsat.org supports the purchasing, distribution, and sharing of Landsat 7 imagery worldwide by providing a simplified, platform-independent user interface and search engine with online data ordering. Laser Mapping Specialists Inc. operates the Optech ALTM system for collecting topographic data. Raymond, MS, USA LH Systems features a variety of products and systems for aerial photography, photo interpretation, digital photogrammetry, orientation management and much more worldwide. Louisiana State University Remote Sensing and Image Processing Lab ESL - Earth Scan Laboratory, Coastal Studies Institute World Health Organization Collaborating Center For Remote Sensing and GIS For Public Health MacDonald Dettwiler and Associates Ltd. - Richmond, British Columbia, Canada Maine Image Analysis Laboratory in the Department of Forest Management at the University of Maine The MapFactory - Their Open Sky Images division provides practical remote sensing and geographical information management solutions - Walnut Creek, California University of Maryland - The Laboratory for Global Remote Sensing Studies(LGRSS) in the Department of Geography Institut Maurice-Lamontagne - Laboratoire de Tldtection Mercator GIS and Environmental Corporation is a provider of digital multispectral aerial imagery, map products, digital data and GIS consultancy. Houston, Texas, USA University of Miami - Remote Sensing Group at Rosenstiel School of Marine and Atmospheric Science Michigan Technological University - Remote Sensing of the Global Environment MicroImages, Inc. provides TNT software products. Lincoln, NE, USA University of Minnesota - Remote Sensing Laboratory Mississippi State University - Remote Sensing Technologies Center University of Mississippi Remote Sensing Home Page at the Department of Geology and Geological Engineering National Remote Sensing and Space Law Center at the School of Law MJH Remote Sensing - M.J. Harden Associates, Inc. Kansas City, Missouri. NASA - National Aeronautics and Space Administration NASA Headquarters Commercial Remote Sensing Program at John C. Stennis Space Center Earth Observatory Earth System Science Office (ESSO) at John C. Stennis Space Center EOS - Earth Observing System Home Page Landsat Program Terra - EOS AM-1 spacecraft JPL Imaging Radar Home Page Earth Science Enterprise - The official website for NASA's Earth Science Enterprise New Millennium Program Earth Orbiter 1 (EO-1) The Observatorium - is a public access site for Earth and space data Public Use of Remote Sensing Data (RSD Program) - Visualization of Remote Sensing Data National Imagery and Mapping Agency (NIMA) - Department of Defense (DoD), USA National Operational Hydrologic Remote Sensing Center (NOHRSC) National Reconnaissance Office (NRO) - Chantilly, Virginia. U.S.A. The Naval Research Laboratory (NRL) - Remote Sensing Division University of Nebraska at Lincoln - Environmental Remote Sensing Laboratory Homepage NOAA - National Oceanic and Atmospheric Administration ESDIM - Environmental Information Services ETL - Environmental Technology Laboratory NGDC - National Geophysical Data Center SAA - Satellite Active Archive University of North Texas - Center for Remote Sensing and Land Use Analysis The Remote Sensing Pages at Northern Arizona University Ocean Imaging Corporation specializes in the acquisition, processing and analysis of aerial and satellite-derived environmental data. - Solana Beach, CA, U.S.A. Opto-Knowledge Systems, Inc. (OKSI) - California, U.S.A. ORBIMAGE(sm) - Dulles, Virginia, U.S.A. Pacific Forestry Centre - Canadian Forest Service Pacific Meridian Resources is a GIS and remote sensing consulting firm based in San Francisco, California, U.S.A. The Pacific Northwest National Laboratory Remote Sensing develops customized aerial and satellite monitoring and analysis techniques for environmental and national security applications. It is operated by Battelle for the U.S. Department of Energy. PAR Government Systems Corporation - New Hartford, U.S.A. PCI Geomatics is a developer of Geomatics software and solutions based on its remote sensing, digital photogrammetry, spatial analysis, and cartographic editing programs. - Canada Photosur Geomat International (PGI) is a service company committed to services in GIS, remote sensing and consulting - Montral, Qubec, Canada Pixoneer Corporation is a provider of image processing software and services. Their image processing software is EARTH. Falls Church, VA, USA Plan gomatique du gouvernement du Qubec (PGGQ) - The Qubec Government Geomatics Plan Polar Science Center, APL-UW - University of Washington Positive Systems, Inc. is a provider of aerial remote sensing systems and contract aerial imaging services worldwide - Whitefish, Montana, USA Prairie Geomatics - Birtle, Manitoba, Canada Purdue University Purdue/LARS MultiSpec? Home Page Universit du Qubec Chicoutimi - Laboratoire de tldtection arienne RADARSAT International (RSI) processes, markets and distributes SAR data from Canada's RADARSAT satellite RADARSAT WWW Server - Canadian Space Agency Radiometrics Corporation produces portable radiometers for remote field applications - Boulder, Colorado Rochester Institute of Technology - Digital Imaging and Remote Sensing Laboratory - Chester F. Carlson Center for Imaging Science Redlake designs and produces digital cameras for digital imaging and remote sensing markets - San Diego, California ROFFS Homepage - Roffer's Ocean Fishing Forecasting Service Inc. combines fisheries oceanography and real- time satellite remote sensing to produce tactical and strategic fisheries forecast. R.S.A.T. - Remote Sensing Advanced Technology is an educational and commerce site demonstrating the capabilities of Systems for World Surveillance, Inc. Rutgers University Center for Remote Sensing and Spatial Analysis (CRSSA) Coastal Ocean Observation Lab is part of the Institute of Marine and Coastal Sciences Sandia National Laboratories - Synthetic Aperture Radar Department, U.S. Department of Energy Satellite Imaging Corporation (SIC) is a global high resolution image data, GIS and mapping solution provider. Houston, Texas, USA Satlantic Inc. - Halifax, Nova Scotia, Canada SeaSpace, Corporation - San Diego James W. Sewall Company - Mapping, GIS, and resource management consultants to government, utilities, and private industry, Old Town, ME, U.S.A. Space Imaging - Thornton, Colorado SpecTIR Corporation - Spectral Technology and Innovative Research (SpecTIR) are a remote sensing group, located in Santa Barbara, CA, specializing in polarimetric and hyperspectral Sensors. Spectra Resources, Inc. - Consultants offering image processing, interpretation, and GIS mapping worldwide. - Houston, Texas Spectral International Inc. is a remote sensing company using field infrared Reflectance Spectroscopy and Hyperspectral Imaging technology. - Colorado, USA Spectranalysis Inc. - Remote Sensing and GIS Consulting - Oakville, Ontario Canada Stanford University - Space, Telecommunications, and Radioscience Laboratory Institute of Atmospheric Sciences at South Dakota School of Mines and Technology University of Texas at Austin - Remote Sensing Group at the Center for Space Research 3Di's Remote Sensing Division TRIFID Corporation - The Resource for Image Fusion and Information Display - St. Louis, Missouri UBC Radar Remote Sensing Group at University of British Columbia, Vancouver BC, Canada United States Department of Agriculture (USDA) Hydrology and Remote Sensing Laboratory of the Agricultural Research Service Remote Sensing Applications Centre of the Forest Service Engineering University of Rhode Island, Graduate School of Oceanography Ocean Color Remote Sensing Air Sea Interaction - The group led by Dr. Tetsu Hara USGS - United States Geological Survey EROS Data Center - Earth Resources Observation Systems Flagstaff Field Center TerraWeb Homepage (Terrestrial Remote Sensing Group) Spectroscopy Lab Utah State University - Remote Sensing and GIS Laboratories Vexcel Corporation - Boulder, CO, U.S.A Versfelt Associates, Ltd. is a worldwide oil and gas consultancy. Houston, Texas, USA. VYSOR Integration Inc. - Gatineau, Quebec, Canada University of Washington - UW Geological Remote Sensing Lab University of Wisconsin-Madison - Environmental Remote Sensing Center The Woods Hole Research Center Yale University - Center for Earth Observation York University - Centre for Research in Earth and Space Science - Toronto South America Alado Imagens de Satelite e Informatica Ltda. is a Remote Sensing/GIS company serving the Brazilian community The Special Program in Remote Sensing (PMPR) of the Universidad de Concepcin, Chile Engesat Imagens de Satlites provides satellite data and consulting services in Brazil and worldwide INPE's home page - National Institute for Space Research of the Brazilian Ministry of Science and Technology Teledet SRL is an Uruguaian remote sensing enterprise basically focused on agricultural and forestry applications. Pacific Australian Centre for Remote Sensing (ACRES) is Australia's major satellite Remote Sensing organisation CSIRO Earth Observation Centre - Canberra, Australia CSIRO Mathematical and Information Sciences: Remote Sensing and Monitoring - Perth, Australia The Remote Sensing and Satellite Research Group at Curtin University of Technology, Australia Geoimage Pty Ltd is an independent Australian image processing consultancy HyVista is an airborne RS company operating HyMap sensor and providing hyperspectral processing services as well as consulting on hyperspectral RS applications. - Australia Integrated Spectronics is an Electro-Optical engineering company building the HyMap sensors, portable spectrometers and other customized instruments. - Australia Manaaki Whenua Landcare Research - Environmental Monitoring - New Zealand Centre for Remote Sensing and GIS - University of New South Wales SpecTerra Systems Pty. Ltd. is a niche company in the remote sensing industry - Australia State Landuse and Tree Survey (SLATS) - Department of Natural Resources Queensland, Australia Technical Field Surveys Pty Ltd offers a full spectrum of satellite remote sensing, GIS, mapping and database services. - Australia TESAG Home Page - Department of Tropical Studies Geography, James Cook University of North Queensland THEMAP is a hyperspectral remote sensing measurement and mapping system. - Comserve Australia Pty Ltd Government of Western Australia, Department of Land Information - Satellite Remote Sensing Services Asia Biotrop Training and Information Centre (BTIC) - Remote sensing and GIS Training center in Indonesia under South East Asian Minister of Education Organisation. CRISP - Centre for Remote Imaging, Sensing and Processing - National University of Singapore CSRSR - Center for Space and Remote Sensing Research - National Central University, Taiwan Geocarto International Centre is publisher and distributor of Remote Sensing GIS Journal, Maps, Atlases, Geo-Books, Satellite Images and Digital Data of China and Hong Kong ImageSat International provides geospatial information products and services from a constellation of high resolution satellites which will be placed in orbit over the coming years. Indian Institute of Technology Centre of Studies in Resources Engineering - Bombay Microwave Remote Sensing Group Remote Sensing Laboratory at the Engineering Geology Division, Department of Civil Engineering - Kanpur National Remote Sensing Agency at the Department of Space Govt. of India Digital Browse (IRS satellites, Landsat) Indian Institute of Remote Sensing Indian Remote Sensing Programme at Space Applications Centre, India Indian Space Reseach Organisation (ISRO) NASDA - National Space Development Agency of Japan Earth Observation at NASDA RESTEC home page - Remote Sensing Technology Center of Japan The National Centre for Remote Sensing - Lebanon Science University of Tokyo - Remote Sensing Laboratory Thailand Remote Sensing Center Waindo Specterra - Remote Sensing and Geographic Information System Consultant - Indonesia NIK Insaat Ticaret Ltd. Co. - Softwares, Satellite Imagery Distribution - Istanbul, Turkey Africa Africover Project - Land Cover assessment based on Remote Sensing for the whole African continent CEOS Information Locator System (CILS) at UNEP, Nairobi, Kenya EIS-SSA - Program on Environmental Information Systems in Sub-Saharan Africa Environmental Remote Sensing Services Center (ERSS) is a pioneering Arab company established in 1988 to meet the regions growing need for satellite remote sensing, GIS products and, services. - Cairo, Egypt NARSS - The National Authority for Remote Sensing and Space Sciences is the pioneering Egyptian institution in the field of satellite remote sensing. Radar Remote Sensing Group - University of Cape Town, South Africa The Satellite Applications Centre (SAC) of the CSIR, Pretoria, South Africa Southern Africa Cooperative centre for Remote Sensing - This web site, and the associated mailing list, are an attempt to provide linkages to the Southern African Remote Sensing Community TerraMare Remote-Sensing CC is a professional partnership specialising in integrated Remote Sensing and Geographic Information System (GIS) technology Europe Agenzia Spaziale Italiana (ASI) - Italian Space Agency WWW server Astrium is Europe's leading space company. Belgian Institute for Space Aeronomy SPENVIS (SPace ENVironment Information System) University of Bremen - Institute of Environmental Physics and Remote Sensing (IUP/ife) GOME (The Global Ozone Monitoring Experiment) SCIAMACHY (Scanning Imaging Absorption SpectroMeter for Atmospheric CHartographY) Bristol University Centre for Remote Sensing British National Space Centre (BNSC) RSADU - Remote Sensing Applications Development Unit Central Laboratory of the Research Councils (CLRC) - UK BADC - British Atmospheric Data Centre ATSR - Along Track Scanning Radiometer Project Chalmers University of Technology - The Remote Sensing Group at the Departement of Radio and Space Science, Gothenburg, Sweden CNES - Centre National d'Etudes Spatiales University College London - Mullard Space Science Laboratory University of Copenhagen - Institute of Geography Chips (The Copenhagen Image Processing System) Danish Center for Remote Sensing (DCRS) - Dept. of Electromagnetic Systems, Technical University of Denmark DEFINIENS provides software solutions for intelligent information management in digital analysis of remote sensing imagery. - Munich, Germany. Delft University of Technology - Photogrammetry and Remote Sensing DLR Web Portal - German Aerospace Center (Deutsche Zentrum fr Luft- und Raumfahrt) Doxiadis GeoImaging S.A (DXGI) - Athens, Greece EARS - Environmental Analysis Remote Sensing Ltd - They are working in a multi-disciplinary environment, such as crop yield forecasting activities, energy and water balance monitoring, and forest monitoring - Delft, The Netherlands Earth Observation Sciences, Ltd (EOS) - Specialists in the science, technology and application of Earth observation and environmental data management - Surrey, UK Earth Oriented Science Division at Space Research Organization Netherlands (SRON) Ecole des Mines de Paris, Remote Sensing and Modeling at Center for Energy Studies Ecole Nationale du Gnie Rural des Eaux et des Forts (French Institute of Forestry, Agricultural and Environmental Engineering), Le Laboratoire Commun de Tldtection (LCT) Electromagnetic Waves Research Institute - Nello Carrara, Firenze, Italy Envia Oy - Environmental applications, weather stations, satellite imagery, geomatics. Finland ERA-Maptec - Ireland ESA - European Space Agency earthnet online Earth Observation Programme EDMS Home Page - ESA Official Documents Management Service (EMITS, DODIS, ESALEX) Announcements of Opportunity (AO) Web Site ESSC Home Page - Environmental Systems Science Centre at The University of Reading, England EUMETSAT - Europe's Meteorological Satellite Organisation EUMITS - EUMETSAT Invitation To Tender System Eurimage - provides Earth observation products and services, offering worldwide remote sensing users a multi-mission service. European Space Imaging (EUSI) is a supplier of IKONOS satellite imagery and derived information products to customers in Europe. Munich, Germany. The European Union Satellite Centre (EUSC) is an Agency of the Council of the European Union dedicated to the exploitation and production of information derived primarily from the analysis of earth observation space imagery National Land Survey of Finland (NLS) Satellite Image Centre Finnish Forest Research Institute (FFRI, METLA) Finnish Geodetic Institute, Department of Photogrammetry Remote Sensing researches and develops the use of aerial and satellite photographs for several mapping and inventory tasks Finnish Institute of Marine Research Finnish Meteorological Institute (FMI, IL) University of Florence - Telecommunication Laboratory GAEL Consultants - Cit Descartes, France GAF - (Gesellschaft fr Angewandte Fernerkundung mbH) is an internationally active consultant firm in the fields of satellite remote sensing, digital image processing, and GIS - Munich, Germany GAMMA Remote Sensing Research and Consulting AG provides consulting services in the field of microwave remote sensing - Bern, Switzerland GDTA (Groupement pour le Dveloppement de la Tldtection Arospatiale) offers professional training in Remote Sensing and GIS - France GEOIMAGE specializes in software for processing Earth observation images - Valbonne, France GEOSATEL - Interdisciplinary laboratory of statistical geometry applied to remote sensing (Facults Universitaires Notre-Dame de la Paix), Namur, Belgium Geosense - Experts in GIS Remote Sensing in support of spatial planning and sustainable management and development of naturel resources - The Netherlands Geoserve B.V. markets and distributes satellite data and offers high end information and distribution services - The Netherlands GEOSPACE - The Austrian Satellite Remote Sensing Company GEOSYS offers geographic information and related services (RS and GIS) - Toulouse, France GEOSYSTEMS GmbH - Gesellschaft fr Vertrieb und Installation von Fernerkundungs- und Geoinformationssystemen, Germering, Germany GeoVille GmbH provides consultancy, services and products in remote sensing and GIS applications - Innsbruck, Austria Gesellschaft fr digitale Erdbeobachtung und Geoinformation mbH (GEG) - Gttingen, Germany GISL International Consultants - GIS, Remote Sensing and Informatics Consultancy - UK Technical University Graz, the Remote Sensing Group at the Institut of Computer Graphics University of Greenwich - Centre for GIS and Remote Sensing, School of Earth and Environmental Sciences Helsinki University of Technology (HUT) Laboratory of Space Technology Institute of Photogrammetry and Remote Sensing Remote Sensing at Heriot-Watt University, Edinburgh, UK Hovemere Ltd. is a scientific instrument company based in the UK specialising in the development of optical instruments primarily for use in research applications, e.g. in remote sensing. IFREMER - Institut Franais de Recherche pour l'Exploitation de la MER (The French Research Institute for the Exploitation of the Sea) CERSAT - Archiving and Processing center For Wind and Wave Satellite data InfoSAR Limited (based in Liverpool, UK) specialise in providing consultancy, training and software in Synthetic Aperture Radar and related techniques. Infoterra - Supplier of Earth Observation satellite imagery, products and remote sensing services. A subsidiary of Astrium, Europe's leading space company. Institut fr Photogrammetrie und Fernerkundung - Technische Universitt Wien (in German) Institut fr Photogrammetrie und Fernerkundung - Universitt Karlsruhe (in German) IGP-ETHZ - Swiss Federal Institute of Technology Istanbul Technical University - Center for Satellite Communications and Remote Sensing (ITU-CSCRS) conducts application oriented projects in remote sensing and satellite communications technologies and serve national/international civil/military companies in their research, development, and educational activities. ISTAR provides geographic information for wireless telecom business using remote sensig - France ITC Home Page - International Institute for Aerospace Survey and Earth Sciences, Enschede, The Netherlands Joint Research Centre (JRC) of the European Communities Kongsberg Spacetec - Troms, Norway University of Leicester - Geographical Information Science and Earth Observation Research Group at the Department of Geography MFB-GeoConsulting Gmbh - Remote Sensing and Information Systems - Distribution of satellite data and ERDAS products - Switzerland M-Sat - Satellite Maps (Landsat 5) - UK Ocean Colour at MUMM - The Management Unit of the North Sea Mathematical Models, Belgium Technische Universitt Mnchen - Chair for Photogrammetry and Remote Sensing Nansen Environmental and Remote Sensing Center (NERSC) - A non-profit research institute affiliated with the University of Bergen, Norway National Aerospace Laboratory (NLR) - The Netherlands NERC Equipment Pool for Field Spectroscopy (EPFS) at the University of Southampton, UK NERC Remote Sensing Data Analysis Service (RSDAS) at the Plymouth Marine Laboratory, UK Netherlands Remote Sensing Board (BCRS) NIK System Department - Satellite Imagery Software Spectrometers - NIK Insaat Ticaret Ltd. Sti., Istanbul, Trkiye NORUT Information Technology Ltd. - Satellite remote sensing and image handling, Troms Norwegian Space Centre (Norsk Romsenter) The University of Nottingham, School of Geography - Geographical Information Science Group NPA Group - provide expertise in earth observation, remote sensing and digital cartographic information. (UK) OMM Observation, Mapping and Monitoring AB is a Swedish subsidiary to the Munich based remote sensing company GAF PIEneering - software solutions and consulting in photogrammetry, remote sensing, computer vision and parallel image engineering - Finland PlanetObserver.Com - France Planetek Italia develops solutions both in the field of GIS) and in processing of remotely sensed images. Polish Academy of Sciences - Institute of Oceanology The Remote Sensing Laboratory Lidar Laboratory RAGU - NERC Remote Sensing and GIS Unit (RAGU), University of Plymouth Remote Sensing Applications Consultants Ltd. (RSAC) - Four Marks, Hampshire, UK ROT's main objective is to promote the use of Earth Observation Satellite Imagery in Portugal. Russian Academy of Sciences - Center of Remote Sensing at the Institute of Solar-Terrestrial Physics sarmap s.a. - Their main areas of expertise is in the development of new methodologies in the Earth Observation domain. They develop and commercialise SARscape. - Switzerland. Satellite Observing Systems, Ltd. (SOS) - Surrey, UK Satellus is a Swedish supplier of geographical and environmental information and services from Earth remote sensing satellites Remote Sensing Satellites - An overview of selected remote sensing satellites Remote Sensing for the Environment (RESE) is a Swedish researh programme on remote sensing European Topic Centre on Land Cover - The European Environment Agency (EEA) ScanEx - Research Development Center ScanEx is a Russian private company providing full integrated solutions for satellite remote sensing applications. Scot Conseil - France Sheffield Centre for Earth Observation Science (SCEOS) at the University of Sheffield, UK University of Siegen - Center for Sensor Systems (ZESS) SITEM - Consultora Tcnica en Sistemas de Informacin Geogrfica y Teledeteccin S.L. is a GIS and Remote Sensing company from Barcelona, Spain (Spanish site) Soil and Water Ltd is an experienced and professional producer and processor of digital geographical information in Finland Space Monitoring Information Support Laboratory (SMIS) of Space Research Institute (IKI) - Moscow, Russia Space Systems Finland Ltd. - Design of software for satellites and ground systems Spectral Imaging Ltd., (SPECIM) is dedicated to develop, produce and market imaging spectrometry instrumentation for industrial machine vision and spectral analysis, airborne remote sensing and scientific applications - Oulu, Finland SPOT IMAGE Stockholm University - Remote Sensing and Ecological Geography Stora Enso is developer and provider of EnsoMosaic digital aerial imaging system and software - Vantaa, Finland University of Stuttgart - Photogrammetry and Remote Sensing Group - Germany Surrey Satellite Technology Ltd. - UK Swedish Space Corporation (SSC) Swedish University of Agricultural Sciences, Department of Forest Resource Management and Geomatics - Remote Sensing Laboratory Synoptics Integrated Remote Sensing GIS Applications BV - Wageningen, The Netherlands Synoptics Geo Applications Limited - UK Tekes - Space Technology - Technology Development Centre Finland Telecommunications and Remote Sensing Laboratory - Universit catholique de Louvain, Belgium TELSAT Guide for Satellite Information - A Belgian platform on remote sensing The Ukrainian Land and Resource Management Center (ULRMC) serves as a center of excellence in remote sensing and geographic information systems (GIS) technologies. University of Vechta - GIS and Remote Sensing Group - Germany Remote sensing and atmospheric processes at Vito (Flemish institute for technological research) - Belgium Remote Sensing of Environment Laboratory - Warsaw University, Poland University of Zurich Remote Sensing Laboratories (RSL) Remote Sensing Applications Division Remote Sensing and Natural Resources Division VTT, Remote Sensing Group - Technical Research Centre of Finland (Host organisation of this index) ------------------------------------------------------------------------------ From: http://blog.sina.com.cn/s/blog_4b700c4c01000ar0.html
Name ： Kebiao Mao, Associate Professor Degree ： Ph.D. Date birth ： 1977-08 E-mail ： maokebiao@126.com Correspondence : Key Laboratory of Resource Remote Sensing and Digital Agriculture, MOA Institute of Agricultural Resources and Regional Planning Chinese Academy of Agricultural Sciences 12 Zhongguancun South Avenue 100081-Beijing China URL: http://blog.sina.com.cn/s/blog_4df9471901000atm.html Brief introduction Kebiao Mao received the B.S. degree from Northeast Normal University , Changchun , China , in 2001, the M.S. degree from Nanjing University , Nanjing , China , in 2004, and the Ph.D. degree in geographic information systems from the Chinese Academy of Sciences, Beijing , China , in 2007. He is currently with the Key Laboratory of Resources Remote Sensing and Digital Agriculture, Ministry of Agriculture, Hulunber Grassland Ecosystem Observation and Research Station, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing . He was with the State Key Laboratory of Remote Sensing Science, which was jointly sponsored by the Institute of Remote Sensing Applications , Chinese Academy of Sciences, and Beijing Normal University , and also with the Graduate School of the Chinese Academy of Sciences. He has published more than 60 papers in international and Chinese scientific journals. His research interests include geophysical parameters retrieval (like land surface temperature and emissivity and soil moisture), the assimilation of satellite data to the crop growth model, land use and crop modeling and remote sensing and GIS applications in agriresources management. Career Education: Assistant Researcher, Key Laboratory of Resources Remote Sensing and Digital Agriculture, MOA, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing , China ( 2007.5 ~ ) Visiting Researcher, The Center for Space and Remote Sensing Research, National Central University , 32054 Chung-Li , Taiwan , China . (2006.3-2006.5) Ph.D. State Key Laboratory of Remote Sensing Science, the Institute of Remote Sensing Applications of Chinese Academy of Sciences ( 2004.9 ~ 2007.4) M.Sc., Geography, Nanjing University , Nanjing , China , ( 2001.9~2004.7) B.Sc., Geography, North-East Normal University ( 1997.9~2001.7 ) Professional Activity -Manuscript reviews for (1) IEEE Trans. Geoscience and Remote Sesning (2) Journal of Geophysical Research (3) International Journal of Remote Sensing (4) Sensors (5) Remote Sensing For Land Resources (6) Journal of LanZhou Universtiy (7) Remote Sensing Information (8) High Technology Letters Invited Speaker 2008.10.23-10.24 The International Institute for Earth System Science (ESSI), Nanjing University, China . 2007.11.15-11.17 The International Institute for Earth System Science (ESSI), Nanjing University, China . 2007.10.10-12 College of Urban Environmental Sciences, North-East Normal University , Award Honor 2008 Proceedings of China Agricultural Resource and Regional Planning(2008), Kunming.(First Prize) 2007 President of the Chinese Academy of Sciences Award 2007 Proceedings of China Agricultural Resource and Regional Planning (2007). Cheng (Excellence Award) 2006 Doctoral Forum of China ， Beijing Forestry University ， 2006.10. 890-895. (Second Prize) 2005 Master's thesis was selected as excellence paper of Nanjing University , and was nominated as excellence paper of Jiangsu Province . Thesis Kebiao Mao, Ph.D. Dissertation , The Study of Algorithm for Retrieving Land Surface Temperature and Soil Moisture from Thermal and Microwave Data, the Institute of Remote Sensing Applications of Chinese Academy of Sciences, 2007.4. Kebiao Mao, M.A. Dissertation , The Study of Algorithm for Retrieving Land Surface Temperature from MODIS Data, Nanjing University , 2004.5. Publications Books ： 1. Kebiao Mao , The Study of Algorithm for Retrieving Land Surface Temperature and Soil Moisture from Thermal and Microwave Data, China Agricultural Science Technology Press, 2007.12. Journals ： 1. Ke Biao Mao, H. T. Li, D. Y. Hu, J. Wang, J. X. Huang, Z. L. Li, Q. B. Zhou, and H. J. Tang, Estimation of water vapor content in near-infrared bands around 1 m from MODIS data by using RMNN , Optics Express, 2010, 18(9), pp. 95429554. PDF download 2. Kebiao Mao , Huajun Tang, Xiufeng Wang , Qingbo Zhou, Daolong Wang, Near-Surface Air Temperature Estimation From ASTER Data Using Neural Network , International Journal of Remote Sensing,2008, 29(20): 6021-6028. PDF download 3. Kebiao Mao , Jiancheng Shi, Huajun Tang, Zhao-Liang Li, Xiufeng Wang, Kunshan Chen, A Neural Network Technique for Separating Land Surface Emissivity and Temperature from ASTER Imagery, IEEE Trans. Geosci. Remote Sensing, 2008, 46(1), 200-208. PDF download 4. Kebiao Mao , J. Shi, Z. Li, and H. Tang, An RM-NN algorithm for retrieving land surface temperature and emissivity from EOS/MODIS data, Journal of Geophysical Research-atmosphere , 2007, 112,D21102, 1-17. PDF download 5. Kebiao Mao , Jiancheng Shi, Zhaoliang Li, Zhihao Qin, Manchun Li, Bin Xu, A physics-based statistical algorithm for retrieving land surface temperature from AMSR-E passive microwave data, Science in China (Series D) ， 2007,7:1115-1120. PDF download 6. Kebiao Mao , Tang H. J., Zhang L. X., Li M. C., Guo Y., Zhao D. Z., A Method for Retrieving Soil Moisture in Tibet Region By Utilizing Microwave Index from TRMM/TMI Data, International Journal of Remote Sensing, 2008 ， 29 （ 10 ）： 2905-2925. PDF download 7. Kebiao Mao , Qin Z., Shi J., Gong P., A Practical Split-Window Algorithm for Retrieving Land Surface Temperature from MODIS Data, International Journal of Remote Sensing, 2005,26:3181-3204. PDF download 8. Kebiao Mao ， Zhihao Qin ， Peng Gong, Qin Yu, The Evaluation of Split-Window Algorithm and the Analysis of Parameter Sensitivity ， Journal of China University of Mining Technology, 2005(3):318-322 . (EI) (in Chinese) 9. Kebiao Mao , Zhihao Qin, Jiancheng Shi, Retrieval of Land Surface Temperature of Shandong Peninsula Using MODIS Image and Split Window Algorithm, Journal of China University of Mining Technology ， 2005(1):46-50. (EI) (in Chinese) 10. Kebiao Mao , Huajun Tang, Qingbo Zhou, Zhuguo Ma, Improvement for Split Window Algorithm and Influence Analysis of Water Vapor Content for Retrieval Accuracy, Geomatics and Information Science of Wuhan University ， 2008, 33 （ 2 ） :116-119. (EI) (in Chinese) 11. Kebiao Mao , Huajun Tang, Zhongxin Chen, Yongqian Wang, An Optimized Multiple-Band Algorithm by Using Neural Network for Separating Land Surface Temperature and Emissivity from ASTER Imagery, Remote Sensing For Land Resources ， 2007, 73 (3): 18-22. (in Chinese) 12. Kebiao Mao , Huajun Tang, Qingbo Zhou ， Zhongxin Chen, Youqi Chen ， Zhihao Qin, Retrieving land surface temperature from MODIS data by using radiance transfer equation ， Journal of LanZhou Universtiy ， 2007,43(4):12-17. (in Chinese) 13. Kebiao Mao , Huajun Tang, Liying Li, Lina Xu, An NN Algorithm for Retrieving Land Surface Temperature and Emissivity from MODIS Data, Remote Sensing Information, 2007,92(4):9-15. (in Chinese) 14. Kebiao Mao , Huajun Tang, Qingbo Zhou ， Youqi Chen ， A Survey of Soil Moisture Retrieval by Passive Microwave Remote Sensing ， Remote Sensing Technology and Application ， 2007,22(3):466-470. (in Chinese) 15. Kebiao Mao , Huajun Tang, Qingbo Zhou ， Zhongxin Chen ， Youqi Chen ， Dengzhong Zhao, A Study of the Relationship between AMSR-E/MPI and MODIS LAI/NDVI, Remote Sensing For Land Resources, 2007, 1: 27-31. (in Chinese) 16. Kebiao Mao , Huajun Tang, Zhongxin Chen, Yubao Qiu, Zhihao Qin, Manchun Li, A Split-window Algorithm for Retrieving Land-Surface Temperature from ASTER Data, Remote Sensing Information, 2006, 5:7-11. (in Chinese) 17. Kebiao Mao ， Jiancheng Shi, Zhihao Qin, Peng Gong, Bin Xu, Lingmei Jiang, A Four-Channel Algorithm for Retrieving Land Surface Temperature and Emissivity from ASTER Data ， Journal of Remote Sensing ， 2006, 4: 593-599. (in Chinese) 18. Kebiao Mao , Zhihao Qin, Bin Xu, A Study of Soil Moisture Retrieval Model from Passive Microwave Data, Geomatics Spatial Information Technology, 2005(5): 12-15. (in Chinese) 19. Kebiao Mao , Jiancheng Shi, Zhaoliang Li, Zhihao Qin, Yuanyuan Jia, The Land Surface Temperature and Emissivity Retrieved from the AMSR Passive Microwave Data , Remote Sensing For Land Resources, 2005(3):14-18. (in Chinese) 20. Kebiao Mao , Zhihao Qin, Manchun Li, Bin Xu, Introduction of Passive Microwave-AMSR-E and Their Research and Application Fields , Remote Sensing Information.2005,3:63-66. (in Chinese) 21. Kebiao Mao ， Jiancheng Shi, Zhihao Qin, Peng Gong, Bin Xu ， A Study for Multiple Band Algorithm for Retrieving Land Surface Temperature and Emissivity from MODIS Data, Journal of LanZhou Universtiy, 2005(6) ： 49-55. (in Chinese) 22. Kebiao Mao , Zhihao Qin, Xiaomin Qin, Maofang Gao, The Study of Strategy Development of Town Enterprise in Middle China, Economic Geography, 2004, 286-290. (in Chinese) 24. Kebiao Mao , Zhihao Qin, Bin Xu, A Mono-window Algorithm for Retrieving Land-Surface Temperature from ASTER Data, Journal of Institute of Surveying and Mapping ， 2005 （ 1 ）： 40-43. (in Chinese) 25. Kebiao Mao , Zhihao Qin, Jianming Wang, Shengli Wu, LOWTRAN Retrieval of Atmospheric Water Content and Transmittance Computation of MODIS Bands 31 and 32, Remote Sensing For Land Resources, 2005.1:26-30. (in Chinese) 26. Kebiao Mao , Zhihao Qin, Retrieval of Water Content of Atmosphere in Bohai Region by MODIS Image, Remote Sensing Information,2004(4):47-49. (in Chinese) 27. Kebiao Mao , Zhihao Qin, Wei Liu, Retrieval of LST in Bohai Sea Rim Region by Mono-Window Algorithm and MODIS Image, Geomatics Spatial Information Technology , 2004(6):23-25. (in Chinese) 28. Kebiao Mao , Zhihao Qin, The Transmission Model of Atmospheric Radiation and the Computation of Transmittance of MODTRAN, Geomatics Spatial Information Technology , 2004, 27(2):1-3. (in Chinese) 29. Kebiao Mao , Zhihao Qin, Wangchang Zhang, The Research of Unmixing Landsat ETM Data Based on BP ANN, Remote Sensing Information, 2004, 74(2):27-30. (in Chinese) 30. Kebiao Mao , Zhihao Qin, Xin Li, Haitao Li, Research and Application of Spatial Data Mining and GIS Integration, Geomatics Spatial Information Technology , 2004, 27(1):14-18. (in Chinese) 31. Kebiao Mao , Zhihao Qin, Wanchang Zhang, A Method of Classification of Remote Sensing Based on SOFM Model, Remote Sensing Technology and Application ， 2003, 6:399-402. (in Chinese) 32. Kebiao Mao , Zhihao Qin, Xiaoyan Chen, Xin Li, A Preliminary Study of Data Mining Technique for E-commerce Application, Journal of Institute of Surveying and Mapping, 2003, 3:180-182. (in Chinese) 33. Kebiao Mao , Zhihao Qin, Haitao Li ， Ruohong Zhou, Research on Spatial Data Mining Based on Data Warehouse, Remote Sensing Information, 2002 ， 68(4):19-26. (in Chinese) 34. Kebiao Mao , Qiujiu Tian, The Technology and Methods of Spatial Data Mining and Their Application, Remote Sensing Technology and Application,2002, (4):198-206. (in Chinese) 35. Yubao Qiu ， Jiancheng Shi ， Lingmei Jiang ， Kebiao Mao ， Ying Guo ， Spatio-Temporal Correlation Analysis between Soil Moisture and Rain Rate Estimated from AMSR-E Passive Microwave Remote Sensing ， Journal of Beijing Normal University (Natural Science) ， 2007 ， 43 （ 3 ）： 350-356. (in Chinese) 36. Lidong Ding ， Zhihao Qin ， Kebiao Mao ， A Research of Split Window Algorithm Based on MODIS Image Data and Parameter Determination, Remote Sensing Technology and Application ， 2005 ， 20(2):284-289. (in Chinese) 37. Xiaomin Qin ， Zhihao Qin, Kebiao Mao ， Spatial Distribution of Land Surface Temperature Retrieved from MODIS data in Shaanxi Province, Arid Land Geography, 2005 ， 28(4):548-553. (in Chinese) 38. Haipeng Tang, Kebiao Mao, Zhihao Qin, Yi Wu, A Survey of Data Mining Tools, Geomatics Spatial Information Technology , 2005(3):4-6. (in Chinese) 39. Haipeng Tang, Kebiao Mao , Zhihao Qin, Yi Wu, Design and Implementation of Spectrum Databases for Remote Sensing, Geomatics Spatial Information Technology, 2004(6):32-35. (in Chinese) Symposia and Proceedings ： 40. Kebiao Mao , Huajun Tang, Qingbo Zhou, Zhuguo Ma, The Application of AMSR-E Data for Monitoring of Snow-Disaster in South-China in 2008 Year, Proceedings of China Agricultural Resource and Regional Planning(2008), Kunming.(First Prize) (in Chinese) 41. Kebiao Mao ， Jiancheng Shi ， Huajun Tang ， Xiufeng Wang, Retrieval of Land Surface Temperature/Emissivity and Water Vapor Content from ASTER1B Data by Using Neural Network, Cross-strait meeting ， Guilin, 2008.9. (in Chinese) 42. Kebiao Mao , Huajun Tang, Qingbo Zhou, Zhuguo Ma, The Study of Algorithm for Retrieving Soil Moisture from AMSR-E Data, Proceedings of National water-saving farming systems theory and technology, Beijing, 2008.5. (in Chinese) 43. Kebiao Mao , Huajun Tang, Zhihao Qin, Qingbo Zhou, The Thinking to Build Bio-tutorial Agriculture of Zhaotong Region, Proceedings of China Agricultural Resource and Regional Planning (2007). Chengdou (Excellence Awards) (in Chinese) 44. Kebiao Mao , Jiancheng Shi, Huajun Tang, Ying Guo, Yubao Qiu, Liying Li, A neural network technique for retrieving land surface temperature from AMSR-E passive microwave data, International Geoscience and Remote Sensing Symposium (IGARSS07).(EI) (in Chinese) 45. Kebiao Mao , Huajun Tang, Zhongxin Chen, Qingbo Zhou, Zhihao Qin, Dengzhong Zhao, The Influence of Water Content to Practical Split-Window Algorithm and the Accuracy Analysis of Retrieval LST, 2006 Doctoral Forum of China ， Beijing Forestry University ， 2006.10. 890-895.(Second Prize) (in Chinese) 46. Kebiao Mao ， Jiancheng Shi, Zhihao Qin, Peng Gong, Bin Xu, Zhongjun Zhang, Lingmei Jiang, A Four-Channel Algorithm for Retrieving Land Surface Temperature and Emissivity from ASTER Data ， Cross-strait meeting ， Kunming, 2005.8. (in Chinese) 47. Kebiao Mao , Zhihao Qin, Manchun Li, Lixin Zhang, Bin Xu, Lingmei Jiang, An Algorithm for Surface Soil Moisture Retrieval Using the Microwave Polarization Difference Index, International Geoscience and Remote Sensing Symposium (IGARSS06).(EI) 48. Kebiao Mao ,Jiangcheng Shi, Zhaoliang Li, Zhihao Qin, Xiufeng Wang, Lingmei Jiang, A Multiple-Band Algorithm for Separating Land Surface Emissivity and Temperature from ASTER Imagery, International Geoscience and Remote Sensing Symposium (IGARSS06).(EI) 49. Kebiao Mao , Jiancheng Shi, Zhihao Qin, Peng Gong, An Advanced and Optimized Split-Window Algorithm for Retrieving Land-Surface Temperature from ASTER Data, International Symposium on Physical Measurements and Signatures in Remote Sensing (ispmsrs),2005.10. 50. Kebiao Mao , Jiancheng Shi, Zhaoliang Li, Zhihao Qin, Peng Gong, A Physics Based on Statistics Algorithm for Retrieving Land Surface Temperature and Soil Moisture From AMSR-E Passive Microwave Data, International Symposium on Physical Measurements and Signatures in Remote Sensing (ispmsrs), 2005.10. 51. Kebiao Mao , Jiancheng Shi, Zhihao Qin, Peng Gong, Wei Liu, Lina Xu A Multiple-band Algorithm for Retrieving Land-Surface Temperature and Emissivity from MODIS Data, International Geoscience and Remote Sensing Symposium (IGARSS05).(EI) 52. Kebiao Mao ， Jiancheng Shi ， Zhaoliang Li ， Zhihao Qin, Yuanyuan Jia, Land Surface Temperature and Emissivity Retrieved From the AMSR Passive Microwave Data, International Geoscience and Remote Sensing Symposium (IGARSS05)(EI) 53. Kebiao Mao , Zhihao Qin, Bin Xu, Manchun Li, Jianming Wang Shengli Wu, The Influence Analysis of Water Content for the Accuracy of Practical Split-window Algorithm, International Geoscience and Remote Sensing Symposium (IGARSS05).(EI) 54. Shengli Wu, Kebiao Mao , Jiangyang Du, Lina Xu, Jiangming Wang, The Potential of TRMM/PR Data to Monitor Snow in Tibetan Plateau, International Geoscience and Remote Sensing Symposium (IGARSS05).(EI) 55. Xu Lina Jiancheng Shi, Mao kebiao , Estimating snow albedo in Tibetan plateau using MODIS, Proceedings of SPIE - The International Society for Optical Engineering,2005.(EI) 56. Qin, Zhihao; Li Wenjuan, Mao Kebiao , Karnieli Arnon,Quantitative Estimation of Main Land Cover Patterns in an Arid Environmental Ecosystem Across Israel-Egypt Border Using Remote Sensing Data ， Source: International Geoscience and Remote Sensing Symposium (IGARSS03), v 3, 2003, p 1879-1881.(EI) 57. Ying Guo, Jiancheng Shi, Kebiao Mao , Surface effect on soil moisture retrieval from AMSR-E data, International Geoscience and Remote Sensing Symposium (IGARSS07).(EI) 58. Yubao Qiu, Jiancheng Shi, Liangmei Jiang, Kebiao Mao , Study of atmospheric effects on AMSR-E microwave brightness temperature over Tibetan plateau, International Geoscience and Remote Sensing Symposium (IGARSS07). (EI) http://podaac.jpl.nasa.gov/DATA_CATALOG/modis.html
标签: sensing
